
<h1><span class="yiyi-st" id="yiyi-13">numpy.ma.MaskedArray.compressed</span></h1>
        <blockquote>
        <p>原文：<a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.compressed.html">https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.compressed.html</a></p>
        <p>译者：<a href="https://github.com/wizardforcel">飞龙</a> <a href="http://usyiyi.cn/">UsyiyiCN</a></p>
        <p>校对：（虚位以待）</p>
        </blockquote>
    
<dl class="method">
<dt id="numpy.ma.MaskedArray.compressed"><span class="yiyi-st" id="yiyi-14"> <code class="descclassname">MaskedArray.</code><code class="descname">compressed</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference external" href="http://github.com/numpy/numpy/blob/v1.11.3/numpy/ma/core.py#L3696-L3721"><span class="viewcode-link">[source]</span></a></span></dt>
<dd><p><span class="yiyi-st" id="yiyi-15">将所有非屏蔽数据作为1-D数组。</span></p>
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<tr class="field-odd field"><th class="field-name"><span class="yiyi-st" id="yiyi-16">返回：</span></th><td class="field-body"><p class="first"><span class="yiyi-st" id="yiyi-17"><strong>data</strong>：ndarray</span></p>
<blockquote class="last">
<div><p><span class="yiyi-st" id="yiyi-18">返回保存非掩码数据的新<em class="xref py py-obj">ndarray</em>。</span></p>
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<p class="rubric"><span class="yiyi-st" id="yiyi-19">笔记</span></p>
<p><span class="yiyi-st" id="yiyi-20">结果是<strong>不</strong> a MaskedArray！</span></p>
<p class="rubric"><span class="yiyi-st" id="yiyi-21">例子</span></p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">ma</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">5</span><span class="p">),</span> <span class="n">mask</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">*</span><span class="mi">2</span> <span class="o">+</span> <span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">*</span><span class="mi">3</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">x</span><span class="o">.</span><span class="n">compressed</span><span class="p">()</span>
<span class="go">array([0, 1])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="nb">type</span><span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">compressed</span><span class="p">())</span>
<span class="go">&lt;type &apos;numpy.ndarray&apos;&gt;</span>
</pre></div>
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